In the absence of annual laminations, time series generated from lake sediments or other
similar stratigraphic sequences are irregularly spaced in time, which complicates formal …

Our goal is to provide an easy-to-follow applied book on semiparametric regression
methods using R. Semiparametric regression has a large literature, but much of it is geared …

Generalized functional additive mixed models Page 1 Electronic Journal of Statistics Vol. 10
(2016) 1455–1492 ISSN: 1935-7524 DOI: 10.1214/16-EJS1145 Generalized functional …

Generalized additive models (GAMs) are a frequently used, flexible framework applied to
many problems in statistical ecology. They are commonly used to incorporate smooth effects …

Wind offers an environmentally sustainable energy resource that has seen increasing global
adoption in recent years. However, its intermittent, unstable and stochastic nature hampers …

In cold boreal regions, for rivers with small to medium-sized watersheds under natural
hydrological regimes, the risk of spring flooding is determined by peak flow intensity rather …

The acoustic characteristics of noise from fricatives and stop releases are difficult to analyze.
The spectral characteristics of such noise are multi-dimensional, and popular methods for …

Function-on-scalar regression models feature a function over some domain as the response
while the regressors are scalars. Collections of time series as well as 2D or 3D images can …

In the chorus of their 1966 hit single “For What It's Worth”, the band Buffalo Springfield
famously asked listeners a question which is repeated in the title of this dissertation …

In this chapter, we study nonparametric regression with a single continuous predictor. This
problem is often called scatterplot smoothing. Our emphasis is on the use of penalized …